The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Comprehensive, up to date handbook, covering one of the hottest topics in research and application-oriented science and engineering Includes a synergy of various approaches and new qualities to be gained by using hybrid approaches A timely and up-to-date reference, edited by internationally renowned experts Includes supplementary material: sn.pub/extras

Autorentext

Janusz Kacprzyk is editor in chief of the Springer series Studies in Computational Intelligence, Studies in Fuzziness and Soft computing, Advances in Intelligent and Soft Computing and Intelligent Systems Reference Library. He is the recent past president of the International Fuzzy Systems Association (IFSA) and recipient of the pioneer award of the IEEE Computational Intelligence Society.

Witold Pedrycz is the Editor-in-Chief of IEEE Transactions on Systems Man and Cybernetics-part A, Editor-in-Chief of the journal Information Sciences (Wiley) and Associate Editor of the IEEE Transactions on Fuzzy Systems. Witold Pedrycz is a recipient of the prestigious Norbert Wiener award from the IEEE Society of Systems, Man and Cybernetics.

Klappentext
This is the first book covering the basics and the state of the art and important applications of the complete growing discipline of computational intelligence. This comprehensive handbook presents a unique synergy of various approaches and new qualities to be gained by using hybrid approaches, incl. inspirations from biology and living organisms and animate systems. The text is organized in 7 main parts foundations, fuzzy sets, rough sets, evolutionary computation, neural networks, swarm intelligence and hybrid computational intelligence systems.

Inhalt
Part A: Foundations (ed. by Bernard De Baets, Radko Mesia).- Part B: Fuzzy Logic (ed. by Luis Magdalena, Enrique Herrera-Viedma, Shyi-M. Chen).- Part C: Rough Sets (ed. by Roman Sowinski, Yiyu Yao).- Part D: Neural Networks (ed. by Cesare Alippi, Marios Polycarpou).- Part E: Evolutionary Computation (ed. by Frank Neumann, Carsten Witt, Peter Merz).- Part F: Swarm Intelligence (ed. by Christian Blum, Roderich Gross).- Part G: Hybrid Systems (ed. by Oscar Castillo, Patricia Melin).